AI-Driven Healthcare Decision Support System: Utilizing Machine Learning and Sentiment Analysis to Interpret Patient Feedback
學年 113
學期 2
發表日期 2025-07-19
作品名稱 AI-Driven Healthcare Decision Support System: Utilizing Machine Learning and Sentiment Analysis to Interpret Patient Feedback
作品名稱（其他語言）
著者 Tzu-Lan Tseng; Chen Yun ; Hsieh Yu-Jung; Wu Yi-Chen; Chiang Yi-Mei
作品所屬單位
出版者
會議名稱 2025 International Conference on Advanced Machine Learning and Data Science（AMLDS）
會議地點 東京，日本
摘要 With medical digitalization, online patient reviews have become crucial for evaluating healthcare quality. Traditional surveys face limitations in sample size and response rate, hindering real-time patient satisfaction assessment. This study develops an AI-driven Healthcare Decision Support System (AI-DSS) using NLP and ML to analyze patient reviews from NTUH and TVGH, identifying key satisfaction factors. Using BERT for sentiment analysis and text mining, feedback is categorized into five dimensions: facility environment, waiting time, staff attitude, medical procedures, and treatment outcomes. Multiple linear regression quantifies their impact on satisfaction, while a ChiSquare Test compares hospital performance. Results show waiting time and staff attitude as critical factors, with significant differences in the facility environment and staff attitude (p < 0.001). This study confirms AI's role in real-time satisfaction monitoring and data-driven healthcare improvements
關鍵字
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20250719~20250721
通訊作者
國別 JPN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128995 )